An Unobtrusive, Multi-individual Gait Monitor

低调的多个体步态监测器

• 批准号: 8387850
• 负责人: Harold P Greeley
• 金额: $ 12.96万
• 依托单位: RESPONSE APPLICATIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8387850
• 关键词: Care given by nurses; Caring; Cessation of life; Chronic Disease; Cognitive; Communities; Crowding; Data; Elderly; Energy Metabolism; Environment; Evaluation; Family Caregiver; Floor; Gait; Health; Health Status; Healthcare; Home environment; Human; Individual; Intervention; Laboratories; Left; Life; Mails; Measurement; Measures; Medical; Medicare; Metric; Monitor; Patients; Pattern; Pattern Recognition; Phase; Physical activity; Population; Provider; Records; Signal Transduction; Skilled Nursing Facilities; Surface; System; Techniques; Technology; Telephone; Testing; Time; Variant; Voice; Walkers; Walking; Wireless Technology; aging population; base; cost; effective intervention; fall risk; falls; foot; improved; instrument; member; monitoring device; programs; sensor; tool; vibration; voice recognition

DESCRIPTION (provided by applicant): We will develop an instrument to improve the healthcare of the most frail members of the elderly community. This population; elderly or recovering patients living at home or in an extended care facility is too frail to leave this environment and, as such, is subject to significantly reduced physical activity. Although numerous studies have confirmed that continuous monitoring of daily energy expenditure and stride time variability would be a powerful tool in the effort to monitor vitality and to reduce fals among the elderly, subject compliance (getting people to consistently wear a monitoring device) has proven to be problematic. The objective of this program is to provide a remote, unattended monitoring system that identifies, records, and analyzes footstep patterns of multiple individuals simultaneously. Without the need to rely on subject abilities or compliance, this tool will quantif the total daily level of energy expenditure of individuals whose health limits their living environment to their home or to a nursing care unit. Temporal gait parameters, including gait variability, of these and more free-roaming individuals would also be made available by this system. Measurement of total daily energy expenditure due to walking will provide a view of each individual's day-to- day levels of activity. Changes in these levels are indicative of changes in health status while the gait variability measurements will provide an assessment of each individual's risk of falling. In summary we are proposing a shift in the monitoring of gait. By usig non-contact sensors and multi- individual recognition techniques, our system is unique in its ability to perform such monitoring without the need for subject compliance. Simultaneous data from multiple individuals will be parsed according to the specific walkers generating each gait sequence. Long-term, free-living monitoring, performed in the care facility or at the subject's home will provide early warning of decreasing health, fall risk estimations and objective measures of change as a result of medical intervention. PUBLIC HEALTH RELEVANCE: It has been demonstrated that the monitoring of gait in elderly individuals can provide valuable information regarding the overall health status and the likelihood for falling of these individuals. Unfortunately current approaches for effective, long-term monitoring require a high degree of subject compliance. We will develop and validate a gait monitoring system requiring minimal subject compliance. Successful completion of this program will greatly improve the likelihood of early, effective intervention in the care of the elderly including those among the most frail of this population.

描述（由申请人提供）：我们将开发一种工具，以改善老年社区中最脆弱成员的医疗保健。这一人口;生活在家中或长期护理设施中的老年或康复中的患者太虚弱而不能离开这种环境，因此，身体活动显著减少。尽管许多研究已经证实，连续监测每日能量消耗和步幅时间变异性将是监测活力和减少老年人跌倒的有力工具，但受试者依从性（让人们始终佩戴监测设备）已被证明是有问题的。该计划的目的是提供一个远程，无人值守的监控系统，识别，记录，并同时分析多个人的脚步模式。不需要依赖于受试者的能力或依从性，该工具将量化其健康状况限制其生活环境为家庭或护理单位的个人的每日总能量消耗水平。这些和更多自由漫游的个体的时间步态参数，包括步态变化，也将通过该系统提供。测量每天因步行而消耗的总能量将提供每个人日常活动水平的视图。这些水平的变化表明 而步态变异性测量将提供对每个人跌倒风险的评估。总之，我们提出了步态监测的转变。通过使用非接触式传感器和多个体识别技术，我们的系统在其执行这种监测而不需要受试者依从性的能力方面是独特的。来自多个人的同时数据将根据产生每个步态序列的特定步行者进行解析。在护理机构或受试者家中进行的长期自由生活监测将提供健康状况下降的早期预警、跌倒风险估计和医疗干预导致的变化的客观测量。 公共卫生相关性：事实证明，监测老年人的步态可以提供有关这些人的整体健康状况和跌倒可能性的有价值的信息。不幸的是，目前用于有效、长期监测的方法需要高度的受试者依从性。我们将开发和验证一个步态监测系统，需要最低限度的受试者的依从性。成功完成这一方案将大大提高对老年人，包括最虚弱的老年人进行早期有效干预的可能性。